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KDD
2005
ACM
181views Data Mining» more  KDD 2005»
15 years 10 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
SEMWEB
2007
Springer
15 years 3 months ago
Understanding the Semantics of Ambiguous Tags in Folksonomies
The use of tags to describe Web resources in a collaborative manner has experienced rising popularity among Web users in recent years. The product of such activity is given the nam...
Ching-man Au Yeung, Nicholas Gibbins, Nigel Shadbo...
GI
2009
Springer
15 years 2 months ago
Perspectives on Tag Clouds for Supporting Reflection in Self-organised Learning
: Tags are popular for organising information in social software based on the personal views of the participants on the information. Tags provide valuable attention meta-data on a ...
Christian Glahn, Marcus Specht, Rob Koper
ECWEB
2007
Springer
162views ECommerce» more  ECWEB 2007»
15 years 4 months ago
Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering
The open nature of collaborative recommender systems present a security problem. Attackers that cannot be readily distinguished from ordinary users may inject biased profiles, deg...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
UM
2009
Springer
15 years 2 months ago
History Dependent Recommender Systems Based on Partial Matching
Abstract. This paper focuses on the utilization of the history of navigation within recommender systems. It aims at designing a collaborative recommender based on Markov models rel...
Armelle Brun, Geoffray Bonnin, Anne Boyer